The Rise of AI and Its Impact on the Data Industry

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Fine-tuning LLMs with user-level differential privacy The machine learning community has consistently found that while modern machine learning (ML) models are powerful, they often need to be fine-tuned on domain-specific data to maximize performance. This can be problematic or even impossible, as informative data is often...

Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle "stop-and-go" waves, those frustrating slowdowns and...

This week, Hugging Face unveiled their latest creation, the Reachy Mini robots. These charming little machines are designed to be programmable, meaning users can customize them for various tasks. They run on Raspberry Pi technology and are characterized by their whimsical design, featuring cartoonish antennae and big googly eyes. Interestingly, these robots don't come with many pre-built...

Benchmarking LLMs for global health Large language models (LLMs) have shown potential for medical and health question-answering across various health-related tests and spanning different formats and sources. Indeed we have been on the forefront of efforts to expand the utility of LLMs for health and medical applications, as...